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Top 23 ai-memory Open-Source Projects
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cognee
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
Cognee builds a self-hosted knowledge graph with ontology grounding, combining embeddings with graph reasoning. Apache-2.0.
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AppSignal
AppSignal knows why the f*#k it crashed. Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
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supermemory
Memory and context engine + app that is extremely fast, scalable, and can be run fully locally. The Memory API for the AI era.
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screenpipe
YC (S26) | Open Computer History | Record your screen continuously locally and provide context to your agents (Claude, Codex, Openclaw, Hermes, Runner...)
Project mention: Launch HN: Screenpipe (YC S26) – Power your agents by your 24/7 screen recording | news.ycombinator.com | 2026-07-23Warning: this link automatically downloads a .dmg file without asking.
https://screenpipe.com /how-to-install
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Memori
Memori is agent-native memory infrastructure. A LLM-agnostic layer that turns agent execution and conversation into structured, persistent state for production systems. Built for enterprise, Memori works with the data infrastructure you already run, no rip-and-replace, and deploys across managed cloud, single-tenant cloud, VPC, and on-premises.
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Pinned Honcho source tree
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julep
Julep — durable, composable AI agents. Flows that crash and resume, retry safely, and explain every step.
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LongMemory
Local persistent memory store for LLM applications including claude desktop, github copilot, codex, antigravity, etc.
Project mention: Show HN: A local-first memory store for LLM agents (SQLite) | news.ycombinator.com | 2025-12-14edit:
from gpt5.2 with prompt:
<< 'adversarial review request. please look at the github link for signs of being written by llm ( extra points if you can point to the llm that generated it ) https://github.com/CaviraOSS/OpenMemory'
>> I can’t prove it’s LLM-written from the outside, but the README (at least) has a lot of “LLM smell.” I’d put it at high likelihood of AI-assisted marketing/docs copy, with some sections bordering on “generated then lightly edited.”
but then it adds a list of style reason why it could be generated by llm
<< “Extra points”: which LLM wrote it?
Most likely: Claude 3.5 Sonnet–style output
<< if i were to point to comments in readme and code, what would you say upon re-review
>> Comments that narrate the obvious (especially line-by-line)
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Kargo
Stop Scripting Promotions. Start Shipping with Kargo. Kargo automates promotion across dev, staging, and prod with approval gates and verification. Open source, built by the team behind Argo CD. Download now.
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Project mention: Ask HN: How do you keep AI assistants consistent with your personal preferences? | news.ycombinator.com | 2025-09-18
I'm the founder of CORE (https://github.com/redplanethq/core) - an external memory system for LLMs that acts like a "memory OS." Instead of AI starting fresh every conversation, CORE lets you create persistent knowledge that any LLM can query and reference.
We've built "spaces" as scoped memory containers - think isolated knowledge environments for different contexts. You might have a 'coding-standards' space with your preferred patterns, a 'project-context' space with current work details, or 'personal-workflows' space with how you like things done. Any AI agent can pull from the relevant spaces to give consistent, contextual responses.
But I'm trying to nail the UX where both user and agent are crystal clear about what preferences are active. How do you make it obvious when AI is referencing your stored knowledge vs. responding generically? Should users explicitly choose which spaces are active, or should AI auto-select based on context?
What personal context do you find yourself repeatedly explaining to AI assistants? And how would you want to manage and be notified about which of your knowledge spaces the AI is actually using?
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Ix
Understand any codebase instantly. System intelligence for codebases, built for humans and AI. (by ix-infrastructure)
Project mention: Ask HN: Deterministic codebase maps vs. LLM inferred knowledge graphs? | news.ycombinator.com | 2026-04-08 -
iai-personal-memory-engine
A cyber brain for your AI. It never forgets a detail, remembers exactly what you said, and learns how you work over time. Free, local, works with Cursor, Claude Code, Codex, OpenClaw, Hermes and more. MIT.
Project mention: 50K-token context reloads, replaced by a 2K local memory engine | news.ycombinator.com | 2026-06-28 -
ai-maestro
AI Agent Orchestrator with Skills System - Give AI Agents superpowers: memory search, code graph queries, agent-to-agent messaging. Manage Claude, Codex or any AI Agent from one dashboard. Move Agents between computers and locations
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vestige
Vestige enhances agents by deterministic root-cause retrieval that reaches backward through time to find the quiet change, decision, or service that caused today’s failure, not the lookalike.
Project mention: The attack is a sleeping sentence your logs cannot see | news.ycombinator.com | 2026-09-02 -
MemOS-Cloud-OpenClaw-Plugin
Official MemOS Cloud plugin for OpenClaw. Enables long-term memory for agents by recalling context before execution and saving conversations after each run.
memos-cloud URL: https://github.com/MemTensor/MemOS-Cloud-OpenClaw-Plugin MemOS Cloud is noteworthy because it treats memory as a lifecycle plugin, recalling context before execution and saving results after each run. That makes it closer to persistent memory infrastructure than a note store. Popularity: about 339 GitHub stars.
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Ori-Mnemos
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
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VeritasGraph
VeritasGraph — open-source Knowledge Graph & GraphRAG framework on GitHub. Build multi-hop reasoning, ontology-aware retrieval, and verifiable attribution over your own data. Nodes, edges, RDF, linked-data — runs locally or in the cloud.
Project mention: Build governed, on-prem AI agents with VeritasGraph Studio (GraphRAG + citations) | dev.to | 2026-07-05Wrap-up + repo link:https://github.com/bibinprathap/VeritasGraph https://bibinprathap.github.io/VeritasGraph/studio/
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pmb
Local-first persistent memory for AI coding agents (Claude Code, Cursor, Codex) over MCP. Decisions, lessons and facts live in one SQLite file on your disk. Offline, multilingual.
Project mention: Show HN: PMB – local memory for coding agents that shows if it is used | news.ycombinator.com | 2026-07-01Repo for anyone who wants to look under the hood: https://github.com/oleksiijko/pmb
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empirica
Make AI agents and AI workflows measurably reliable. Epistemic measurement, Noetic RAG, Sentinel gating, and grounded calibration for Claude Code and beyond
Project mention: Why Your AI Agent Needs Memory That Decays (and How Qdrant Makes It Work) | dev.to | 2026-03-06GitHub: github.com/Nubaeon/empirica
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claude-self-reflect
Claude forgets everything. This fixes that. 🔗 www.npmjs.com/package/claude-self-reflect
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superlocalmemory
Open-source governed, local-first memory control plane for AI agents and teams. arXiv:2608.08253
Memory: SLM-Lite cognitive memory, powered by SuperLocalMemory — backed by 3 peer-reviewed papers (arXiv:2604.04514, arXiv:2603.14588, arXiv:2603.02240). SQLite-backed, fully local. Episodic memory, semantic recall via embeddings (new in v2.2.0), working memory with decay. No cloud dependency. Your agent's memory stays on your machine.
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hipocampus
Drop-in memory harness for AI agents — 3-tier memory, compaction tree, hybrid search. One command to set up. Works with Claude Code and OpenClaw.
Project mention: Show HN: Hipocampus – Persistent memory harness for AI agents | news.ycombinator.com | 2026-03-18 -
mengram
Human-like memory for AI agents — semantic, episodic & procedural. Experience-driven procedures that learn from failures. Free API, Python & JS SDKs, LangChain, CrewAI & OpenClaw integrations.
Website: mengram.io
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SaaSHub
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NOTE:
The open source projects on this list are ordered by number of github stars.
The number of mentions indicates repo mentiontions in the last 12 Months or
since we started tracking (Dec 2020).
ai-memory discussion
ai-memory related posts
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Show HN: DeepMem·hybrid-retrieval memory for AI Agents – Vector+BM25+Time-Decay
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Show HN: Open-source agent memory layer, 96% on LongMemEval, local-first
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The attack is a sleeping sentence your logs cannot see
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HOM-AIMOS – Auditable persistent memory for agent security
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agentscope VS verified-memory-vault - a user suggested alternative
2 projects | 26 Aug 2026 -
camel VS verified-memory-vault - a user suggested alternative
2 projects | 26 Aug 2026 -
graphiti VS verified-memory-vault - a user suggested alternative
2 projects | 26 Aug 2026 -
A note from our sponsor - SaaSHub
www.saashub.com | 13 Sep 2026
Index
What are some of the best open-source ai-memory projects? This list will help you:
| # | Project | Stars |
|---|---|---|
| 1 | cognee | 30,608 |
| 2 | supermemory | 29,606 |
| 3 | screenpipe | 21,556 |
| 4 | Memori | 16,669 |
| 5 | honcho | 7,139 |
| 6 | julep | 6,588 |
| 7 | LongMemory | 4,487 |
| 8 | memobase | 2,894 |
| 9 | core | 1,971 |
| 10 | Alook | 1,182 |
| 11 | Ix | 880 |
| 12 | iai-personal-memory-engine | 859 |
| 13 | ai-maestro | 780 |
| 14 | vestige | 617 |
| 15 | MemOS-Cloud-OpenClaw-Plugin | 355 |
| 16 | Ori-Mnemos | 323 |
| 17 | VeritasGraph | 318 |
| 18 | pmb | 278 |
| 19 | empirica | 247 |
| 20 | claude-self-reflect | 226 |
| 21 | superlocalmemory | 224 |
| 22 | hipocampus | 206 |
| 23 | mengram | 194 |
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AppSignal knows why the f*#k it crashed.
Stop vibe-debugging. Every exception, every backtrace, grouped so you see patterns, not noise.
www.appsignal.com